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Christian Igel

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1 week ago

PhD Fellowship in Machine Learning for Environmental Sciences at the University of Copenhagen University of Copenhagen in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 2, 2026

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Country

Denmark

University

University of Copenhagen

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Keywords

Computer Science
Environmental Science
Biology
Artificial Intelligence
Wetland Ecology
Statistics
Machine learning

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About this position

Open PhD fellowship in Machine Learning for Environmental Sciences at the Department of Computer Science, University of Copenhagen, within the Global Wetland Center.

This opportunity is aimed at candidates interested in combining computer science, machine learning, and environmental sciences, with a likely focus on data-driven methods for wetland or ecological research. The post also notes an option to join the ELLIS PhD program (European Laboratory for Learning and Intelligent Systems), which may be relevant for students seeking a broader AI/ML research network.

The announcer is Christian Igel, Professor at the University of Copenhagen. No email address, stipend amount, tuition coverage, or other funding specifics are stated in the post excerpt.

Deadline: August 2, 2026.

How to apply: Use the external application link provided in the call and submit the application before the deadline.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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